geo
País sugerido pelo Cloudflare para a UI (fallback BR).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
País sugerido pelo Cloudflare para a UI (fallback BR).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses the data source (Cloudflare), the purpose (UI), and the fallback value (BR), which are useful behavioral details beyond the empty input schema. It does not describe the return format in detail, but for a zero-parameter tool this is reasonably transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise phrase with no filler. The key information—Cloudflare-suggested country—is front-loaded, and the fallback detail is efficiently placed in parentheses.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that this is a simple zero-parameter tool with no output schema, the description provides essential context: the source, the use case, and the fallback behavior. The only minor gap is that it does not explicitly state whether the return value is a country code, though 'fallback BR' strongly implies it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters and schema description coverage is 100%, so there are no parameter semantics to document. Per the baseline for zero-parameter tools, no additional parameter guidance is needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the resource as a country suggested by Cloudflare for the UI, which conveys what the tool returns. However, it lacks an explicit verb like 'returns' or 'gets', and it does not directly distinguish itself from sibling list_countries, though the singular 'País' helps.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'para a UI' gives some context about when this is relevant, but it does not explicitly say when to use this tool versus alternatives such as list_countries. The usage is implied rather than clearly specified.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool addresses a distinct resource/action: favorites vs. history vs. watch recording are clearly separate, and the NSFW consent/pass tools are unambiguous. Even closely related tools like 'get_channel', 'get_channel_guide', and 'legacy_stream' serve different purposes. No two tools appear to do the same thing.
Most tools follow a verb_noun pattern (get_, list_, create_, add_, remove_, etc.) with clear conventions. A few exceptions exist like 'billing', 'geo', 'health', and 'me', which are nouns and break the pattern slightly, but the overall style is predictable and readable.
With 47 tools, the server is far beyond the typical well-scoped range (3-15). While the API covers a broad domain (auth, catalog, chat, comments, billing, NSFW), this many tools would be better split into smaller, focused servers. The count feels bloated and could overwhelm an agent.
The tool surface is quite comprehensive for a streaming service: it includes auth, user preferences, favorites, history, catalog search, channel details, comments, chat, NSFW consent/passes, billing, and reporting. Minor gaps exist (e.g., no update/delete for categories/groups, no comment editing), but these are not critical dead ends.